Operational data is valuable only if analyzed and presented effectively. This course teaches business data analytics tailored to operations: extracting data using SQL, analyzing trends, and designing dashboards that drive action. No prior analytics experience is required.
- Apply data analytics to operational problems
- Write basic SQL queries to extract operational data
- Design and interpret operational dashboards
- Translate data insights into recommendations
Day 1 – Data Analytics Fundamentals
- Types of operational data (structured, semi-structured)
- Data quality assessment
- Descriptive, diagnostic, predictive analytics overview
Day 2 – SQL Basics for Operations
- Database schemas and tables
- SELECT, WHERE, ORDER BY
- Filtering and sorting operational data
Day 3 – Intermediate SQL for Analysts
- JOINS (INNER, LEFT) across operational tables
- GROUP BY and aggregate functions (COUNT, SUM, AVG)
- Subqueries for deeper analysis
Day 4 – Operational Dashboard Design
- Key principles of dashboard design
- Choosing the right chart types for KPIs
- Hands-on dashboard creation (Power BI or similar)
Day 5 – From Data to Decision
- Interpreting dashboard visualizations
- Identifying actionable insights
- Presenting data findings to operations leadership
Operations analysts, performance managers, data clerks, team leads.
Learning Outcomes:
- Clean and prepare operational data for analysis
- Write SELECT, WHERE, JOIN, and GROUP BY SQL statements
- Build a dashboard in Power BI or similar tool
- Identify outliers and trends in operational metrics
Target Competencies:
- Behavioral: Curiosity, structured thinking, attention to patterns
- Technical: SQL (basic), data visualization, Excel/BI tools